Community wonders what happened to Fable, a 10T parameter model
A Reddit user asks about the status of Fable, a 10 trillion parameter model, sparking discussion about its development and potential release. The post reflects community curiosity and uncertainty about the model's progress.
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Community questions backlash against Anthropic extending Fable usage limits
A Reddit user questions why the community is angry at Anthropic for extending the usage period of its Fable model, arguing that extended free access should be welcomed. The post reflects confusion over the backlash, suggesting users may be concerned about hidden costs or changes to the model's availability.
Community frustration with frontier model releases and FOMO
A Reddit user expresses frustration with the current state of AI subreddits, citing excessive complaining about frontier models, recent OpenAI releases, and FOMO-driven negativity. The user, a software engineer, wishes the forums would focus more on productive AI workflows and growth.
Community debates fine-tuning on Fable reasoning traces
A Reddit user is fine-tuning Qwen 3.6 35B on reasoning traces from Anthropic's Fable model, reporting +5% on HumanEval and SWE-bench. Others criticize the approach, arguing that Fable's public traces are summarized and differ from its internal chain-of-thought, potentially degrading performance.
↑ Updated Sun, Jul 12, 2026, 11:54 PM — Fine-tuner reports +5% on HumanEval and SWE-bench; critic warns Fable traces are summarized, not true CoT.
Community crowdsources examples of open-weight model failures vs frontier models
A Hacker News user is collecting concrete task examples where open-weight models (GLM, DeepSeek, Kimi, Qwen) failed while frontier models (Opus, Fable, GPT) succeeded, or vice versa, to test the claim that open models 6 months behind the frontier are good enough for most work. The thread provides a structured template for reporting failures and successes.
Cactus releases Needle, a 26M parameter function calling model
Cactus Compute released Needle, a 26 million parameter model specialized for function calling, claiming it outperforms much larger models. The model is open-source with a demo on Hugging Face and code on GitHub.